Over the many years, Apollo Mapping has helped a countless number of academics and professors source the proper imagery for their grant-funded research budgets. Whether it is 8-band multispectral and short-wave infrared (SWIR) WorldView-3 satellite imagery for land-use land-cover mapping; 50-cm digital elevation models (DEMs) for archaeological research; or synthetic aperture radar (SAR) for monitoring weapons of mass destruction (WMDs) in remote regions, we have decades of expertise finding the correct geospatial data source for your next project.
In this regular series, In Focus, we scour the Internet to find former Apollo Mapping clients who used our satellite imagery and/or DEMs in their academic research. So without further ado, here is this month’s featured academic article.
Article Title, Author & Academic Institution: 2013 Morley Nelson Snake River Birds of Prey National Conservation Area RapidEye 7m Landcover Classification, Lucas Spaete et al., Boise State University
Key Scientific Discipline(s): conversation ecology, GIS and remote sensing
Executive Summary: Machine learning techniques were applied to a layer stack containing five-band 6.5-meter (m) RapidEye satellite imagery, as well as several derived raster indices, in order to automatically extract 14 classes of landcover from data collected over the Morley Nelson Snake River Birds of Prey National Conservation Area in Idaho.
Commercial Satellite Imagery Datasets Used: 6.5-m 5-band RapidEye
Are you a former Apollo Mapping academic client who would like to feature your research in a future edition of In Focus? If so, send us an email at email@example.com, we would be happy to hear from you again!
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